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Bacillus cereus is a foodborne opportunistic pathogen commonly found in humans and animals. It produces various toxins, causing frequent food safety incidents. Therefore, establishing a fast and accurate method for detecting B. cereus enterotoxin is crucial for disease diagnosis and food safety. In this study, Haemolysin BL comprising Hbl B and L2 was obtained from a prokaryotic expression system and then used to immunize mice for antibody preparation. Paired antibodies 2A10–5C7 against Hbl B and 1E2–10A4 against Hbl L2 were screened using the chessboard method and then used to construct a double-antibody sandwich detection method and a lateral flow immunochromatographic assay (LFIA) to quantify the concentrations of Hbl B and L2 in PBS and milk. The limits of detection for Hbl B and L2 in milk were 0.74 ng mL−1 and 1 ng mL−1 with detection ranges of 1.48–645.5 ng mL−1 and 2.33–391.5 ng mL−1. The spiked recoveries ranged from 82.2% to 105.67% and there was no cross-reactivity with common microbial toxins. The established LFIA was low in cost and rapid and was comparable with commercially available detection kits for food samples. [ABSTRACT FROM AUTHOR]

Avian leukemia is an infectious tumorous disease of chickens caused by subgroup A of the avian leukemia virus (ALV-A), which mainly causes long-term viremia, slow growth, immune suppression, decreased production performance, multi-tissue tumors, and even death. The infection rate of this disease is very high in chicken herds in China, causing huge economic losses to the poultry industry every year. We successfully expressed the specific antigen protein of ALV (P27) through recombinant protein technology and screened a pair of highly sensitive monoclonal antibodies (mAbs) through mouse immunity, cell fusion, and antibody pairing. Based on this pair of antibodies, we established a dual antibody sandwich ELISA and gold nanoparticle immunochromatographic strip (AuNP-ICS) detection method. In addition, the parameters of the dual antibody sandwich ELISA and AuNP-ICS were optimized under different reaction conditions, which resulted in the minimum detection limits of 0.2 ng mL−1 and 1.53 ng ml−1, respectively. Commonly available ELISA and AuNP-ICS products on the market were compared, and we found that our established immune rapid chromatography had higher sensitivity. This established AuNP-ICS had no cross-reactivity with Influenza A (H1N1), Influenza A (H9N2), respiratory syncytial virus (RSV), varicella-zoster virus (VZV), Listeria monocytogenes listeriolysin (LLO), and Staphylococcal enterotoxin SED or SEC. Finally, the established AuNP-ICS was used to analyze 35 egg samples, and the results showed 5 positive samples and 30 negative samples. The AuNP-ICS rapid detection method established by our group had good specificity, high sensitivity, and convenience, and could be applied to the clinical sample detection of ALV-A. [ABSTRACT FROM AUTHOR]

Understanding how green hotels can gain marketing advantages could motivate hoteliers to adopt green practices during construction and operation. This study investigates the mediation role of perceived psychological benefits on consumers' environmental concerns and their willingness to pay a measurable premium for green-label hotels. Data gathered from 540 Chinese consumers revealed that a mismatch between the involvement of hotels and online travel agencies (OTAs) hampers the relationship between environmental concerns and perceived psychological benefits of booking green-label hotels on OTAs, further influencing consumers' willingness to pay a premium. This research uncovers an overlooked but crucial factor that reduces consumer satisfaction with the hotel-choice process and why it makes consumers willing to pay a premium for green-label hotels. Drawing from the findings, recommendations are also proffered for hoteliers to conceive and execute green marketing tactics. [ABSTRACT FROM AUTHOR]

Norovirus is one of the main pathogens causing acute gastroenteritis worldwide, and possesses rich genetic diversity. We established a simple, fast, and suitable colloidal gold immunochromatographic detection method for common epidemic strains of Norovirus. A pair of monoclonal antibodies that are sensitive to recognizing Norovirus was successfully screened and used as gold-labeled antibody and capture antibody, respectively. The assembly conditions of the test strip were optimized to determine the labeling pH, the concentration of capture antibody and concentration of AuNP-labeled antibody, then the performance of the strips, including sensitivity testing and specificity testing, was evaluated. The minimum detection concentration of the established Norovirus colloidal gold test strip detection method is 10 ng mL−1. This antibody has no cross-reactivity with HCoV-NL63, HCoV-OC43, Influenza A (H1N1), Influenza A (H9N2), respiratory syncytial virus or Varicella zoster virus. The established colloidal gold detection method was used to analyze 11 fecal samples, and the results showed that only two samples were positive and the rest were negative, in agreement with the RT-PCR result. The whole colloidal gold test strip detection method process took 15 min, and could be used for on-site detection. The established colloidal gold test strip detection method has good specificity and stability, and can be used for the detection of common Norovirus strains and in large-scale epidemiological investigations. [ABSTRACT FROM AUTHOR]

We propose an online impression-management conceptual model and present a two-step approach to unfold the importance of multiple attributes on a restaurant marketplace mobile app. First, our study uses OpenTable platform data to provide insights into the visual attractiveness of restaurant images. In total, 92,934 images were scraped and further labeled through the Tencent Multi-Label API, which identified six categories of image cues. Second, an exploratory Choice-Based Conjoint (CBC) analysis was performed to assess the importance of attributes at different levels from 746 valid survey responses. Furthermore, we performed Latent Class Analysis (LCA) to categorize the consumers by their choice features in which we identified two groups: "visual-image-cues responsive" and "price-rating-cue responsive." These categories advance the proposed online impression-management conceptual model and indicate that visual information is the most important attribute in decision making. Our study provides empirically based suggestions to enable practitioners to strengthen their m-commerce marketing strategies. • Six image cues were identified from 92,934 images data and applied into the CBC study. • Distinguished visual-image-cue responsive and price-rating-cue responsive consumers. • Advanced the knowledge of restaurant online impression management. [ABSTRACT FROM AUTHOR]